Zapier engagement report
@zapier - 97K followers on X
Measured over 22 original posts from a 30-day window, last computed on September 15, 2026.
Engagement
A typical post picks up 18 interactions against 97K followers, an engagement rate of 0.018%. Measured over 22 original posts, its engagement rate beats 24% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.4K times each, and 0.721% of those impressions turn into an interaction. That is about 2.50% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 22 posts sampled, 64% carry an image or video and 50% are part of a thread. The account's strongest tracked post pulled 3.0K interactions, about 164x its own typical post. Recurring topics include #lawyer, #smallbiz.
Measured over 22 original posts from a 30-day window, last computed on September 15, 2026. Recurring tags: #lawyer, #smallbiz.
Compared with accounts its own size
Zapier's engagement rate beats 24% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 32% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.018%, Zapier sits above the 10th percentile of the 205,152 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 13:00 UTC, and Thursday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 64% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 5% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 64% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 5% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 213 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Aug 3, 2026164x their median
I have this new LLM sycophancy eval I came up where in the middle of a random conversation I just say “I kinda feel some connection between this and the McDonald's philosophy” and so far it never fails, it turns out that’s always “genuinely an interesting framing” https://t.co/lVeM43Qt3p
- Aug 27, 202628x their median
the more i use ai for ongoing automation the more i realize i dont need ai for ongoing automation. just get the ai to write the automation script and stop paying crazy token rates and waiting for it to [slowly and] undeterministicly screw up the task at unexpected times.
- Sep 8, 20262.4x their median
People have run 16.5 million actions across 1,900+ apps through Zapier MCP🤯 The real teams running their companies on this are showing you exactly how, live at ZapConnect It's virtual, it's free, and it's on September 23 RSVP below https://t.co/5ZKBsCffI7
- Sep 4, 20262.2x their median
Three new AI models dropped this week. Here's which workflows they're actually good at: Claude Fable 5.1 → best for finance approvals, support escalations, sales follow-ups Gemini 3.8 Flash → best Flash model yet for ops + marketing GPT-6 Astra (new top score on AutomationBench: 41.4%) → best for CRM reconciliation, compliance checks, deal review prep
- Sep 1, 20262.1x their median
Claude Fable 5.1 just dropped🫡 Built for workflows where following the rules beats a good guess → finance approvals, support escalations, sales follow-ups Standout stat from AutomationBench: On policy-heavy finance tasks, Fable 5.0 scored 0% but Fable 5.1 scored 100% https://t.co/cS8LfPvE09
- Sep 7, 20262.0x their median
Play pickleball with us at @HubSpot UNBOUND! Come grab some espresso and breakfast with other GTM leaders, and swap notes on where teams are actually using AI (and where they absolutely are not) Wednesday, Sept 16, 8am to 12pm Pumped to see you there, RSVP below👇 https://t.co/y0LdORi45r
- Sep 3, 20261.7x their median
GPT-6 Astra is here! It set a new record on AutomationBench, scoring 41.4% at max effort We found that it’s both careful and accurate, ideal for compliance checks, cross-source verification, and routing info to the right people https://t.co/cuuE3k0Nr7
- Aug 3, 20261.5x their median
The people closest to the work are the ones who should be automating it
- Aug 13, 2026
Usually you have to pick: best model or cheapest model Gemini 3.7 Flash is both, and it’s available in Zapier! • 30.4% on AutomationBench (new #1) • Less than half the price of GPT 5.6 Sol and Opus 5 • 11.7 points ahead of every other model on finance workflows More below: https://t.co/0WZyHoZijq
- Aug 15, 2026
We launched AutomationBench in April to test AI on real business workflows... 5 weeks later: first model breaks 10% (Opus 4.8) 9 weeks after that: first model breaks 20% (Opus 5) 3 weeks after that: Gemini 3.7 Flash breaks 30% Any bets on how long until someone hits 40%?
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 18 interactions against 97K followers, an engagement rate of 0.018%. Measured over 22 original posts, its engagement rate beats 24% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.4K times each, and 0.721% of those impressions turn into an interaction. That is about 2.50% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 22 posts sampled, 64% carry an image or video and 50% are part of a thread. The account's strongest tracked post pulled 3.0K interactions, about 164x its own typical post. Recurring topics include #lawyer, #smallbiz.
- What is Zapier's engagement rate on X?
- Zapier (@zapier) has an engagement rate of 0.018%, based on the median interactions across 22 original posts from the last 30 days against 97,039 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.018%, Zapier sits above the 10th percentile of the 205,152 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @zapier have real engagement?
- Its engagement rate beats 24% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @zapier post?
- Most posts go out around 13:00 UTC, and Thursday is its busiest day, at roughly 2.1 posts per day across the measured window.